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pipelines. Assists in analysis pipeline and algorithms development and validation. Extracts feature of interest from data relating to specific biological questions. Contributes to the development and
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scientists at the Algorithmic Transparency Institute (a project of the National Conference on Citizenship) and other academic and non-profit organizations on data collection, analysis, academic reporting
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, standardization, and documentation that will enable efficient provider scheduling across the organization. This includes monitoring provider templates and scheduling algorithms for all ambulatory access departments
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model forecasts of their track, structure, and intensity, especially at landfall. Additional components of the work will involve supporting the Hurricane Field Program, and developing algorithms
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are processed and reported in a timely manner. In addition, the coordinator will assist in monitoring the performance of artificial intelligence (AI) algorithms used in the radiology department to generate
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& Bioinformatics Shared Resources (BBSR). Will provide support on bioinformatics, analysis, model development and validation, and machine learning algorithms. Will contribute to all phases of research, including
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studies. Provide support on bioinformatics, statistical analysis, model development and validation, and machine learning algorithms. The Assistant Professor will manage research projects, and will supervise
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. The candidate must possess strong programming skills, be logical and disciplined thinking, efficient in developing algorithms, analyzing and solving programming problems. Proficiency using ESRI's ArcGIS software
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, patient generated attachments/photos and self-scheduling, understanding their impact on patient matching. Uses and understands algorithms (basic, intermediate, advanced, probabilistic) within the master
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acceptable processing algorithms Work with commercial (e.g. Echoview) and/or academic (e.g., Applied Physics Laboratory, WHOI) partners to develop and operationalize a toolbox for automated to semi-automated